[mlir][td] Rename pack_paddings in structured.pad

mlir/include/mlir/Dialect/Linalg/TransformOps/LinalgTransformOps.td

@@ -1023,7 +1023,7 @@ def PadOp : Op<Transform_Dialect, "structured.pad",
          Variadic<TransformAnyParamTypeOrAnyHandle>:$pad_to_multiple_of,
          DefaultValuedOptionalAttr<DenseI64ArrayAttr, "{}">:
                           $static_pad_to_multiple_of,
-         DefaultValuedAttr<I64ArrayAttr, "{}">:$pack_paddings,
+         DefaultValuedAttr<I64ArrayAttr, "{}">:$nofold_flags,
          DefaultValuedAttr<
           TypedArrayAttrBase<I64ArrayAttr, "array of arrays of i64">,
           "{}">:$transpose_paddings,

mlir/include/mlir/Dialect/Linalg/Transforms/Transforms.h

@@ -296,9 +296,9 @@ struct LinalgPaddingOptions {
   }
   /// A flag for every operand to mark the PadOp as nofold which enables
   /// packing for statically shaped operands.
-  SmallVector<bool> packPaddings;
+  SmallVector<bool> nofoldFlags;
   LinalgPaddingOptions &setPackPaddings(ArrayRef<bool> pp) {
-    packPaddings.assign(pp.begin(), pp.end());
+    nofoldFlags.assign(pp.begin(), pp.end());
     return *this;
   }
   /// A number of loops to hoist the PadOp out for every operand.
@@ -530,7 +530,7 @@ void peelLoops(RewriterBase &rewriter, ArrayRef<scf::ForOp> loops);
 ///
 /// * "options.padToMultipleOf" indicates that each padding dimension should be
 ///   padded to the specified multiple.
-/// * Use "options.paddingValues" and "options.packPaddings" to set padding
+/// * Use "options.paddingValues" and "options.nofoldFlags" to set padding
 ///   value and nofold attribute of the created tensor::PadOps, respectively.
 /// * The unpadded results (extracted slice of the cloned operation) are
 ///   returned via `replacements`.

mlir/lib/Dialect/Linalg/TransformOps/LinalgTransformOps.cpp

@@ -1718,7 +1718,7 @@ transform::PackTransposeOp::apply(transform::TransformRewriter &rewriter,
 void transform::PadOp::build(OpBuilder &b, OperationState &result, Value target,
                              ArrayRef<int64_t> paddingDimensions,
                              ArrayRef<int64_t> padToMultipleOf,
-                             ArrayRef<int64_t> packPaddings,
+                             ArrayRef<int64_t> nofoldFlags,
                              ArrayRef<Attribute> transposePaddings,
                              StringRef copyBackOp) {
   auto resultType = transform::AnyOpType::get(b.getContext());
@@ -1733,15 +1733,15 @@ void transform::PadOp::build(OpBuilder &b, OperationState &result, Value target,
                (padToMultipleOf.empty()
                     ? DenseI64ArrayAttr()
                     : b.getDenseI64ArrayAttr(padToMultipleOf)),
-               /*packPaddings=*/b.getI64ArrayAttr(packPaddings),
+               /*nofoldFlags=*/b.getI64ArrayAttr(nofoldFlags),
                /*transposePaddings=*/b.getArrayAttr(transposePaddings),
                /*copyBackOp=*/b.getStringAttr(copyBackOp));
 }
 
 void transform::PadOp::build(OpBuilder &b, OperationState &result, Value target,
                              ArrayRef<int64_t> paddingDimensions,
                              ArrayRef<OpFoldResult> mixedPadToMultipleOf,
-                             ArrayRef<int64_t> packPaddings,
+                             ArrayRef<int64_t> nofoldFlags,
                              ArrayRef<Attribute> transposePaddings,
                              StringRef copyBackOp) {
   auto resultType = transform::AnyOpType::get(b.getContext());
@@ -1757,7 +1757,7 @@ void transform::PadOp::build(OpBuilder &b, OperationState &result, Value target,
                /*paddingDimensions=*/b.getI64ArrayAttr(paddingDimensions),
                /*padToMultipleOf=*/dynamicPadToMultipleOf,
                /*padToMultipleOf=*/staticPadToMultipleOf,
-               /*packPaddings=*/b.getI64ArrayAttr(packPaddings),
+               /*nofoldFlags=*/b.getI64ArrayAttr(nofoldFlags),
                /*transposePaddings=*/b.getArrayAttr(transposePaddings),
                /*copyBackOp=*/b.getStringAttr(copyBackOp));
 }
@@ -1791,10 +1791,10 @@ transform::PadOp::apply(transform::TransformRewriter &rewriter,
     }
 
     // Convert the integer packing flags to booleans.
-    SmallVector<bool> packPaddings;
+    SmallVector<bool> nofoldFlags;
     for (int64_t packPadding :
-         extractFromIntegerArrayAttr<int64_t>(getPackPaddings()))
-      packPaddings.push_back(static_cast<bool>(packPadding));
+         extractFromIntegerArrayAttr<int64_t>(getNofoldFlags()))
+      nofoldFlags.push_back(static_cast<bool>(packPadding));
 
     // Convert the padding values to attributes.
     SmallVector<Attribute> paddingValues;
@@ -1852,7 +1852,7 @@ transform::PadOp::apply(transform::TransformRewriter &rewriter,
 
     options.padToMultipleOf = padToMultipleOf;
     options.paddingValues = paddingValues;
-    options.packPaddings = packPaddings;
+    options.nofoldFlags = nofoldFlags;
     if (getCopyBackOp() ==
         bufferization::MaterializeInDestinationOp::getOperationName()) {
       options.copyBackOp = LinalgPaddingOptions::CopyBackOp::
@@ -1898,14 +1898,14 @@ transform::PadOp::apply(transform::TransformRewriter &rewriter,
 }
 
 LogicalResult transform::PadOp::verify() {
-  SmallVector<int64_t> packPaddings =
-      extractFromIntegerArrayAttr<int64_t>(getPackPaddings());
-  if (any_of(packPaddings, [](int64_t packPadding) {
+  SmallVector<int64_t> nofoldFlags =
+      extractFromIntegerArrayAttr<int64_t>(getNofoldFlags());
+  if (any_of(nofoldFlags, [](int64_t packPadding) {
         return packPadding != 0 && packPadding != 1;
       })) {
     return emitOpError()
-           << "expects pack_paddings to contain booleans (0/1), found "
-           << getPackPaddings();
+           << "expects nofold_flags to contain booleans (0/1), found "
+           << getNofoldFlags();
   }
 
   SmallVector<int64_t> paddingDimensions =

mlir/lib/Dialect/Linalg/Transforms/Padding.cpp

@@ -88,7 +88,7 @@ static LogicalResult computePaddedShape(linalg::LinalgOp opToPad,
 }
 
 /// Pad the `opOperand` in the "paddingDimensions" using the padding value and
-/// the nofold flag found in "paddingValues" and "packPaddings", respectively.
+/// the nofold flag found in "paddingValues" and "nofoldFlags", respectively.
 ///
 /// Exit early and return the `opOperand` value if it already has the requested
 /// shape. i.e.:
@@ -117,8 +117,8 @@ static FailureOr<Value> padOperandToSmallestStaticBoundingBox(
 
   // Return the unpadded operand if padding to a static shape is not needed and
   // if the nofold flag is not set.
-  bool nofold = opOperand->getOperandNumber() < options.packPaddings.size()
-                    ? options.packPaddings[opOperand->getOperandNumber()]
+  bool nofold = opOperand->getOperandNumber() < options.nofoldFlags.size()
+                    ? bool(options.nofoldFlags[opOperand->getOperandNumber()])
                     : false;
   if (!nofold && alreadyHasRequestedShape)
     return opOperand->get();

mlir/python/mlir/dialects/transform/structured.py

@@ -377,7 +377,7 @@ def __init__(
         pad_to_multiple_of: Optional[Union[DynamicIndexList, ArrayAttr]] = None,
         padding_values: Optional[Union[ArrayAttr, Sequence[Attribute]]] = None,
         padding_dimensions: OptionalIntList = None,
-        pack_paddings: OptionalIntList = None,
+        nofold_flags: OptionalIntList = None,
         transpose_paddings: Optional[
             Union[ArrayAttr, Sequence[Union[ArrayAttr, IntOrAttrList]]]
         ] = None,
@@ -407,7 +407,7 @@ def __init__(
             padding_values=padding_values,
             padding_dimensions=padding_dimensions,
             static_pad_to_multiple_of=static_pad_to_multiple_of,
-            pack_paddings=pack_paddings,
+            nofold_flags=nofold_flags,
             transpose_paddings=transpose_paddings,
             copy_back_op=copy_back_op,
             loc=loc,

mlir/test/Dialect/Linalg/matmul-shared-memory-padding.mlir

@@ -59,7 +59,7 @@ module attributes {transform.with_named_sequence} {
     // Pad linalg.matmul.
     %padded, %pad, %copy_back = transform.structured.pad %tiled_linalg_op
         {padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
-         padding_dimensions=[0, 1, 2], pack_paddings=[1, 1, 1],
+         padding_dimensions=[0, 1, 2], nofold_flags=[1, 1, 1],
          copy_back_op = "linalg.copy"}
         : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 
@@ -180,7 +180,7 @@ module attributes {transform.with_named_sequence} {
     // Pad linalg.matmul.
     %padded, %pad, %copy_back = transform.structured.pad %tiled_linalg_op
         {padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
-         padding_dimensions=[0, 1, 2], pack_paddings=[1, 1, 1],
+         padding_dimensions=[0, 1, 2], nofold_flags=[1, 1, 1],
          copy_back_op = "linalg.copy"}
         : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 

mlir/test/Dialect/Linalg/pad-to-specific-memory-space.mlir

@@ -54,7 +54,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 1]
+      nofold_flags=[1, 1, 1]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     %buffer, %new_ops = transform.structured.bufferize_to_allocation %pad {memory_space = 3, emit_dealloc} : !transform.any_op
     %2 = transform.bufferization.one_shot_bufferize %arg1 {bufferize_function_boundaries=true} : (!transform.any_op) -> !transform.any_op
@@ -115,7 +115,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 1]
+      nofold_flags=[1, 1, 1]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.structured.vectorize %pad vector_sizes [10, 12] : !transform.any_op
     %vector_write = transform.structured.match ops{["vector.transfer_write"]} in %arg1 : (!transform.any_op) -> !transform.any_op

mlir/test/Dialect/Linalg/transform-op-pad.mlir

@@ -39,7 +39,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.op<"bufferization.materialize_in_destination">)
     %p = transform.num_associations %copy_back : (!transform.op<"bufferization.materialize_in_destination">) -> !transform.param<i64>
     // expected-remark @below {{1}}
@@ -76,7 +76,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 pad_to_multiple_of [2, 2, 1] {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -112,7 +112,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 pad_to_multiple_of [%c2, 2, 1] {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op, !transform.param<i64>) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -155,7 +155,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -178,7 +178,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0: i32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -201,7 +201,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=["{foo}", 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -210,7 +210,7 @@ module attributes {transform.with_named_sequence} {
 // -----
 
 // With all padded being static, there's nothing to pad. However, with the
-// `nofold` attribute set (see `pack_paddings`), the corresponding pad Ops are
+// `nofold` attribute set (see `nofold_flags`), the corresponding pad Ops are
 // preserved.
 
 // CHECK-LABEL: @zero_pad_static(
@@ -239,7 +239,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 0]
+      nofold_flags=[1, 1, 0]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -248,7 +248,7 @@ module attributes {transform.with_named_sequence} {
 // -----
 
 // With all padded dims being static, there's nothing to pad. However, with the
-// `nofold` attribute set (see `pack_paddings`), the corresponding pad Ops are
+// `nofold` attribute set (see `nofold_flags`), the corresponding pad Ops are
 // preserved. Same as above, but some dims are now dynamic.
 
 // CHECK-LABEL: @zero_pad_dynamic(
@@ -278,7 +278,7 @@ module attributes {transform.with_named_sequence} {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       // Note - only the static dim is padded
       padding_dimensions=[2],
-      pack_paddings=[1, 1, 1]
+      nofold_flags=[1, 1, 1]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -305,7 +305,7 @@ module attributes {transform.with_named_sequence} {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       // Note - attempting to pad non-static dim
       padding_dimensions=[1],
-      pack_paddings=[1, 1, 1]
+      nofold_flags=[1, 1, 1]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -362,7 +362,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 1]
+      nofold_flags=[1, 1, 1]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }
@@ -414,7 +414,7 @@ module attributes {transform.with_named_sequence} {
     %padded, %pad, %copy_back = transform.structured.pad %0 {
       padding_values=[0.0 : f32, 0.0 : f32, 0.0 : f32],
       padding_dimensions=[0, 1, 2],
-      pack_paddings=[1, 1, 1]
+      nofold_flags=[1, 1, 1]
     } : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
     transform.yield
   }

mlir/test/Dialect/Linalg/transform-ops-invalid.mlir

@@ -18,8 +18,8 @@ transform.sequence failures(propagate) {
 
 transform.sequence failures(propagate) {
 ^bb0(%arg0: !transform.any_op):
-  // expected-error@below {{expects pack_paddings to contain booleans (0/1), found [1, 7]}}
-  transform.structured.pad %arg0 {pack_paddings=[1, 7]} : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
+  // expected-error@below {{expects nofold_flags to contain booleans (0/1), found [1, 7]}}
+  transform.structured.pad %arg0 {nofold_flags=[1, 7]} : (!transform.any_op) -> (!transform.any_op, !transform.any_op, !transform.any_op)
 }
 
 // -----

mlir/test/python/dialects/transform_structured_ext.py

@@ -304,7 +304,7 @@ def testPadOpNoArgs(target):
     # CHECK: transform.sequence
     # CHECK: transform.structured.pad
     # CHECK-NOT: copy_back_op
-    # CHECK-NOT: pack_paddings
+    # CHECK-NOT: nofold_flags
     # CHECK-NOT: pad_to_multiple_of
     # CHECK-NOT: padding_dimensions
     # CHECK-NOT: padding_values
@@ -319,7 +319,7 @@ def testPadOpArgs(target):
         pad_to_multiple_of=[128],
         padding_values=[FloatAttr.get_f32(42.0), StringAttr.get("0")],
         padding_dimensions=Attribute.parse("[1]"),
-        pack_paddings=[0],
+        nofold_flags=[0],
         transpose_paddings=[[1, Attribute.parse("0")], Attribute.parse("[0, 1]")],
         copy_back_op="linalg.copy",
     )
@@ -328,7 +328,7 @@ def testPadOpArgs(target):
     # CHECK: transform.structured.pad
     # CHECK-DAG: pad_to_multiple_of [128]
     # CHECK-DAG: copy_back_op = "linalg.copy"
-    # CHECK-DAG: pack_paddings = [0]
+    # CHECK-DAG: nofold_flags = [0]
     # CHECK-DAG: padding_dimensions = [1]
     # CHECK-DAG: padding_values = [4.200000e+01 : f32, "0"]
     # CHECK-DAG: transpose_paddings = {{\[}}[1, 0], [0, 1]]